**** OPEN OUTPUT LOG FILE  *****


log using "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay Project.APPENDIX C MODELS.04-19-2025.smcl", replace 




*** MODELS PREDICTING IMPLEMENTATION DELAY: TIME FROM INITIAL FILING BY CLAIMANT --> PAYMENT TO CLAIMANT [PROPORTION OBSERVED IN TIME RANGE: IN DAYS] ***





*** APPENDIX C MODELS: ANALYZING SENSITIVITY OF MANUSCRIPT MODEL ESTIMATES -- INCLUSION OF NON-IT MODERNIZATION STATES IN BASELINE ESTIMATES OF ORGANIZATIONAL LEARNING ///
***                    DURING PRE-IT MODERNIZATION REFORM ADOPTION PHASE ***








*** RETRIEVE MANUSCRIPT MODELS DATABASE [as of 04-18-2025] ***

use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace





*** SET DATA TO PANEL STRUCTURE  ***

xtset stateid monthyear, monthly

*
*
*
*
*



*******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** TESTING H1: INTER-SECTORAL HYPOTHESIS [PLUS, BASELINE ORGANIZATIONAL LEARNING ESTIMATES] ***





**** TABLE C1 -- MODELS C1 & C2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS C1-C2; FIGURES C1A-C1B & C1C-C1D)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** ESTIMATE MODEL C1: 14 DAYS OR LESS [DELAY] [MODEL 1 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: UNCONDITIONAL LEARNING [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE]  *** 	[FIGURES C1A-C1C]


npregress series delay_14days  itmod_monthcount i.agencyhead_gov0, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*


* [MODEL C1] FIGURE C1A:  E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C1A}""{bf:Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C1.FIGURE C1A.04-19-2025.gph", replace




* [MODEL C1] FIGURE C1C: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C1B}""{bf:Conditional Adaptation Estimates: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit}" "{bf:[MODEL C1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C1.FIGURE C1B.04-19-2025.gph", replace





****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



*** MODEL C2: 28 DAYS OR MORE [DELAY] [MODEL 2 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE] *** 	[FIGURES C1C-C1D]


npregress series delay_29plusdays  itmod_monthcount i.agencyhead_gov0, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*
*


* [MODEL C2] FIGURE C1C: E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C1C}""{bf: Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C2.FIGURE C1C.04-19-2025.gph", replace


****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

* [MODEL C2] FIGURE C1D: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C1D}""{bf:Conditional Adaptation Estimates: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days}" "{bf:[MODEL C2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C2.FIGURE C1D.04-19-2025.gph", replace





********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************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******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** TESTING H2: INTRA-SECTORAL HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE PLUS; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE: APPOINTED AGENCY POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***







****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



**** TABLE C1 -- MODELS C3 & C4: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JUNE 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS C3-C4; FIGURES C2A-C2F; C3A-C3F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL C3: 14 DAYS OR LESS [DELAY] [MODEL 3 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE] *** [FIGURES C2A-C2F]


npregress series delay_14days  itmod_monthcount i.agencyhead_govord_1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C3] FIGURE C2A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C2A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL C3] FIGURE C2B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C2B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C3] FIGURE C2C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL C3] FIGURE C2D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C2D}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C3] FIGURE C2E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C2E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C3] FIGURE C2F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C2F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C3.FIGURE C2F.04-19-2025.gph", replace




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************






*** MODEL C4: 28 DAYS OR MORE [DELAY] [MODEL 4 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE] *** 	[FIGURES C3A-C3F]

*
*

npregress series  delay_29plusdays  itmod_monthcount  i.agencyhead_govord_1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal  i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





* [MODEL C4] FIGURE C3A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL C4] FIGURE C3B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C4] FIGURE 3C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL C4] FIGURE C3D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3D}""{bf:Conditional Adaptation Differential: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C4] FIGURE C3E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C4] FIGURE C3F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C3F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C4.FIGURE C3F.04-19-2025.gph", replace






*********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************









*** TESTING H3: INTRA-SECTORAL AGENCY-SPECIFIC HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE RESTRICTED ONLY TO NON-UIP AGENCY: APPOINTED OR CIVIL/NON-APPOINTED POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: IN UIP AGENCY: APPOINTED OR CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***






**** TABLE C1 -- MODELS C5 & C6: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JUNE 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS C5-C6; FIGURES C4A-C4F; C5A-C5F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL C5: 14 DAYS OR LESS [DELAY] [MODEL 5 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE] *** [FIGURES 4A-4F]


npregress series delay_14days  itmod_monthcount  i.agencyhead_govord_2, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C5] FIGURE C4A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL C5] FIGURE C4B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C5] FIGURE C4C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL C5] FIGURE C4D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C5] FIGURE C4E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL C5] FIGURE C4F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C4F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL C5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C5.FIGURE C4F.04-19-2025.gph", replace






****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** MODEL C6: 28 DAYS OR MORE [DELAY] [MODEL C6 with ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL [INCLUDE NON-ADOPTING IT REFORM STATES IN SAMPLE BASELINE] *** 	[FIGURES C5A-C5F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_2, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

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* [MODEL C6] FIGURE C5A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5A.04-19-2025.gph", replace



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*

* [MODEL C6] FIGURE C5B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5B.04-19-2025.gph", replace


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* [MODEL C6] FIGURE C5C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5C.04-19-2025.gph", replace


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* [MODEL C6] FIGURE C5D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5D.04-19-2025.gph", replace



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* [MODEL C6] FIGURE C5E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5E.04-19-2025.gph", replace



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* [MODEL C6] FIGURE C5F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE C5F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL C6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model C6.FIGURE C5F.04-19-2025.gph", replace







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